instruction stringlengths 0 1k | input stringlengths 1 1k | output stringlengths 10 6.51k |
|---|---|---|
import reflex as rx
from account_management_dashboard.components.account_section import (
account_category_section,
)
from account_management_dashboard.components.header import header_component
from account_management_dashboard.components.net_worth_graph import (
net_worth_graph_component,
)
from account_manag... |
def index() -> rx.Component:
"""The main page of the financial dashboard."""
return rx.el.div(
sidebar(),
rx.el.main(
header_component(),
net_worth_summary(),
net_worth_graph_component(),
rx.el.div(
rx.el.div(
... | from account_management_dashboard.states.account_state import AccountState |
unt_state import AccountState
def index() -> rx.Component:
"""The main page of the financial dashboard."""
return rx.el.div(
sidebar(),
rx.el.main(
header_component(),
net_worth_summary(),
net_worth_graph_component(),
rx.el.div(
r... |
app.add_page(index, title="Accounts Dashboard")
| app = rx.App(
theme=rx.theme(
appearance="light",
has_background=False,
radius="medium",
accent_color="indigo",
)
) |
import reflex as rx
from account_management_dashboard.models.models import (
AccountCategory,
AccountDetail,
SparklinePoint,
)
from account_management_dashboard.states.account_state import AccountState
try:
import reflex.components.recharts as recharts
recharts_available = True
except ImportErr... | from typing import List | |
from typing import List
|
from account_management_dashboard.models.models import (
AccountCategory,
AccountDetail,
SparklinePoint,
)
from account_management_dashboard.states.account_state import AccountState
try:
import reflex.components.recharts as recharts
recharts_available = True
except ImportError:
recharts_avai... | import reflex as rx |
from typing import List
import reflex as rx
|
from account_management_dashboard.states.account_state import AccountState
try:
import reflex.components.recharts as recharts
recharts_available = True
except ImportError:
recharts_available = False
def mini_sparkline(
data_var: rx.Var[List[SparklinePoint]],
) -> rx.Component:
"""A small sparkl... | from account_management_dashboard.models.models import (
AccountCategory,
AccountDetail,
SparklinePoint,
) |
from typing import List
import reflex as rx
from account_management_dashboard.models.models import (
AccountCategory,
AccountDetail,
SparklinePoint,
)
|
try:
import reflex.components.recharts as recharts
recharts_available = True
except ImportError:
recharts_available = False
def mini_sparkline(
data_var: rx.Var[List[SparklinePoint]],
) -> rx.Component:
"""A small sparkline for account rows."""
placeholder = rx.el.div(
"~",
... | from account_management_dashboard.states.account_state import AccountState |
from typing import List
import reflex as rx
from account_management_dashboard.models.models import (
AccountCategory,
AccountDetail,
SparklinePoint,
)
from account_management_dashboard.states.account_state import AccountState
try:
|
recharts_available = True
except ImportError:
recharts_available = False
def mini_sparkline(
data_var: rx.Var[List[SparklinePoint]],
) -> rx.Component:
"""A small sparkline for account rows."""
placeholder = rx.el.div(
"~",
class_name="text-gray-400 text-xs w-[80px] text-center",... | import reflex.components.recharts as recharts |
from typing import List
import reflex as rx
from account_management_dashboard.models.models import (
AccountCategory,
AccountDetail,
SparklinePoint,
)
from account_management_dashboard.states.account_state import AccountState
try:
import reflex.components.recharts as recharts
|
except ImportError:
recharts_available = False
def mini_sparkline(
data_var: rx.Var[List[SparklinePoint]],
) -> rx.Component:
"""A small sparkline for account rows."""
placeholder = rx.el.div(
"~",
class_name="text-gray-400 text-xs w-[80px] text-center",
)
return rx.cond(
... | recharts_available = True |
from typing import List
import reflex as rx
from account_management_dashboard.models.models import (
AccountCategory,
AccountDetail,
SparklinePoint,
)
from account_management_dashboard.states.account_state import AccountState
try:
import reflex.components.recharts as recharts
recharts_available ... |
def mini_sparkline(
data_var: rx.Var[List[SparklinePoint]],
) -> rx.Component:
"""A small sparkline for account rows."""
placeholder = rx.el.div(
"~",
class_name="text-gray-400 text-xs w-[80px] text-center",
)
return rx.cond(
recharts_available & (data_var.length() > 0),
... | recharts_available = False |
from typing import List
import reflex as rx
from account_management_dashboard.models.models import (
AccountCategory,
AccountDetail,
SparklinePoint,
)
from account_management_dashboard.states.account_state import AccountState
try:
import reflex.components.recharts as recharts
recharts_available ... |
return rx.cond(
recharts_available & (data_var.length() > 0),
recharts.line_chart(
recharts.line(
data_key="value",
type="monotone",
stroke="#6b7280",
stroke_width=1,
dot=False,
),
re... | placeholder = rx.el.div(
"~",
class_name="text-gray-400 text-xs w-[80px] text-center",
) |
-xs text-gray-500",
),
class_name="flex-grow",
),
class_name="flex items-center flex-grow",
),
rx.el.div(
mini_sparkline(account["sparkline_data"]),
class_name="hidden md:block mx-4",
),
rx.el.div(
... |
change_icon = rx.cond(
category["one_month_change"] >= 0,
"arrow_up",
"arrow_down",
)
change_sign = rx.cond(category["one_month_change"] >= 0, "+", "")
chevron_icon = rx.cond(is_open, "chevron_up", "chevron_down")
total_balance_str = rx.cond(
category["total_balance"... | is_open = category["is_open"] |
),
class_name="flex-grow",
),
class_name="flex items-center flex-grow",
),
rx.el.div(
mini_sparkline(account["sparkline_data"]),
class_name="hidden md:block mx-4",
),
rx.el.div(
rx.el.p(
"$" + a... |
change_sign = rx.cond(category["one_month_change"] >= 0, "+", "")
chevron_icon = rx.cond(is_open, "chevron_up", "chevron_down")
total_balance_str = rx.cond(
category["total_balance"] >= 0,
category["total_balance"],
category["total_balance"] * -1,
)
one_month_change_str = rx... | change_icon = rx.cond(
category["one_month_change"] >= 0,
"arrow_up",
"arrow_down",
) |
),
rx.el.div(
mini_sparkline(account["sparkline_data"]),
class_name="hidden md:block mx-4",
),
rx.el.div(
rx.el.p(
"$" + account["balance"].to_string(),
class_name="text-sm font-semibold text-gray-900 text-right",
... |
chevron_icon = rx.cond(is_open, "chevron_up", "chevron_down")
total_balance_str = rx.cond(
category["total_balance"] >= 0,
category["total_balance"],
category["total_balance"] * -1,
)
one_month_change_str = rx.cond(
category["one_month_change"] >= 0,
"$" + catego... | change_sign = rx.cond(category["one_month_change"] >= 0, "+", "") |
e_data"]),
class_name="hidden md:block mx-4",
),
rx.el.div(
rx.el.p(
"$" + account["balance"].to_string(),
class_name="text-sm font-semibold text-gray-900 text-right",
),
rx.el.p(
account["last_updated"],
... |
total_balance_str = rx.cond(
category["total_balance"] >= 0,
category["total_balance"],
category["total_balance"] * -1,
)
one_month_change_str = rx.cond(
category["one_month_change"] >= 0,
"$" + category["one_month_change"].to_string(),
"-$" + (category["one_... | chevron_icon = rx.cond(is_open, "chevron_up", "chevron_down") |
),
rx.el.div(
rx.el.p(
"$" + account["balance"].to_string(),
class_name="text-sm font-semibold text-gray-900 text-right",
),
rx.el.p(
account["last_updated"],
class_name="text-xs text-gray-500 text-right",
... |
one_month_change_str = rx.cond(
category["one_month_change"] >= 0,
"$" + category["one_month_change"].to_string(),
"-$" + (category["one_month_change"] * -1).to_string(),
)
one_month_change_percent_str = (
category["one_month_change_percent"].to_string() + "%"
)
retu... | total_balance_str = rx.cond(
category["total_balance"] >= 0,
category["total_balance"],
category["total_balance"] * -1,
) |
ay-900 text-right",
),
rx.el.p(
account["last_updated"],
class_name="text-xs text-gray-500 text-right",
),
class_name="w-32 text-right ml-4",
),
class_name="flex items-center justify-between py-3 px-4 hover:bg-gray-50 transi... |
one_month_change_percent_str = (
category["one_month_change_percent"].to_string() + "%"
)
return rx.el.div(
rx.el.button(
rx.el.div(
rx.icon(
tag=chevron_icon,
size=20,
class_name="text-gray-500 mr-3",
... | one_month_change_str = rx.cond(
category["one_month_change"] >= 0,
"$" + category["one_month_change"].to_string(),
"-$" + (category["one_month_change"] * -1).to_string(),
) |
ext-right ml-4",
),
class_name="flex items-center justify-between py-3 px-4 hover:bg-gray-50 transition-colors duration-150 border-tb border-gray-100",
)
def account_category_section(
category: rx.Var[AccountCategory], index: rx.Var[int]
) -> rx.Component:
"""Displays a collapsible section... |
return rx.el.div(
rx.el.button(
rx.el.div(
rx.icon(
tag=chevron_icon,
size=20,
class_name="text-gray-500 mr-3",
),
rx.el.span(
category["category_name"],
... | one_month_change_percent_str = (
category["one_month_change_percent"].to_string() + "%"
) |
from account_management_dashboard.states.account_state import AccountState
def header_component() -> rx.Component:
"""The header component above the main content area."""
return rx.el.div(
rx.el.h1(
"Accounts",
class_name="text-2xl font-semibold text-gray-900",
),
... | import reflex as rx | |
import reflex as rx
|
def header_component() -> rx.Component:
"""The header component above the main content area."""
return rx.el.div(
rx.el.h1(
"Accounts",
class_name="text-2xl font-semibold text-gray-900",
),
rx.el.div(
rx.el.button(
rx.icon(
... | from account_management_dashboard.states.account_state import AccountState |
from account_management_dashboard.states.account_state import AccountState
try:
import reflex.components.recharts as recharts
recharts_available = True
except ImportError:
recharts_available = False
TOOLTIP_PROPS = {
"content_style": {
"backgroundColor": "#ffffff",
"borderColor": "#e... | import reflex as rx | |
import reflex as rx
|
try:
import reflex.components.recharts as recharts
recharts_available = True
except ImportError:
recharts_available = False
TOOLTIP_PROPS = {
"content_style": {
"backgroundColor": "#ffffff",
"borderColor": "#e5e7eb",
"borderRadius": "0.375rem",
"boxShadow": "0 1px 3px ... | from account_management_dashboard.states.account_state import AccountState |
import reflex as rx
from account_management_dashboard.states.account_state import AccountState
try:
|
recharts_available = True
except ImportError:
recharts_available = False
TOOLTIP_PROPS = {
"content_style": {
"backgroundColor": "#ffffff",
"borderColor": "#e5e7eb",
"borderRadius": "0.375rem",
"boxShadow": "0 1px 3px 0 rgba(0, 0, 0, 0.1), 0 1px 2px 0 rgba(0, 0, 0, 0.06)",
... | import reflex.components.recharts as recharts |
import reflex as rx
from account_management_dashboard.states.account_state import AccountState
try:
import reflex.components.recharts as recharts
|
except ImportError:
recharts_available = False
TOOLTIP_PROPS = {
"content_style": {
"backgroundColor": "#ffffff",
"borderColor": "#e5e7eb",
"borderRadius": "0.375rem",
"boxShadow": "0 1px 3px 0 rgba(0, 0, 0, 0.1), 0 1px 2px 0 rgba(0, 0, 0, 0.06)",
"fontFamily": "inherit"... | recharts_available = True |
import reflex as rx
from account_management_dashboard.states.account_state import AccountState
try:
import reflex.components.recharts as recharts
recharts_available = True
except ImportError:
|
TOOLTIP_PROPS = {
"content_style": {
"backgroundColor": "#ffffff",
"borderColor": "#e5e7eb",
"borderRadius": "0.375rem",
"boxShadow": "0 1px 3px 0 rgba(0, 0, 0, 0.1), 0 1px 2px 0 rgba(0, 0, 0, 0.06)",
"fontFamily": "inherit",
"fontSize": "0.875rem",
"lineHeig... | recharts_available = False |
es.account_state import AccountState
try:
import reflex.components.recharts as recharts
recharts_available = True
except ImportError:
recharts_available = False
TOOLTIP_PROPS = {
"content_style": {
"backgroundColor": "#ffffff",
"borderColor": "#e5e7eb",
"borderRadius": "0.375re... |
def net_worth_graph_component() -> rx.Component:
"""Displays the net worth performance graph."""
return rx.el.div(
rx.el.div(
rx.el.div(
rx.el.select(
rx.el.option(
AccountState.selected_performance_type,
... | def graph_placeholder() -> rx.Component:
"""Placeholder shown if recharts is not available."""
return rx.el.div(
rx.el.p("Graph component requires the 'recharts' extra."),
rx.el.p("Please install it using:"),
rx.el.code("pip install reflex[recharts]"),
class_name="p-10 text-cente... |
from account_management_dashboard.states.account_state import AccountState
def net_worth_summary() -> rx.Component:
"""Displays the net worth and its change."""
change_color = rx.cond(
AccountState.net_worth_change_amount >= 0,
"text-green-600",
"text-red-600",
)
change_icon ... | import reflex as rx | |
import reflex as rx
|
def net_worth_summary() -> rx.Component:
"""Displays the net worth and its change."""
change_color = rx.cond(
AccountState.net_worth_change_amount >= 0,
"text-green-600",
"text-red-600",
)
change_icon = rx.cond(
AccountState.net_worth_change_amount >= 0,
"arrow... | from account_management_dashboard.states.account_state import AccountState |
import reflex as rx
from account_management_dashboard.states.account_state import AccountState
def net_worth_summary() -> rx.Component:
"""Displays the net worth and its change."""
|
change_icon = rx.cond(
AccountState.net_worth_change_amount >= 0,
"arrow_up",
"arrow_down",
)
change_sign = rx.cond(AccountState.net_worth_change_amount >= 0, "+", "")
return rx.el.div(
rx.el.div(
rx.el.span(
"NET WORTH",
class... | change_color = rx.cond(
AccountState.net_worth_change_amount >= 0,
"text-green-600",
"text-red-600",
) |
import reflex as rx
from account_management_dashboard.states.account_state import AccountState
def net_worth_summary() -> rx.Component:
"""Displays the net worth and its change."""
change_color = rx.cond(
AccountState.net_worth_change_amount >= 0,
"text-green-600",
"text-red-600",
... |
change_sign = rx.cond(AccountState.net_worth_change_amount >= 0, "+", "")
return rx.el.div(
rx.el.div(
rx.el.span(
"NET WORTH",
class_name="text-xs font-medium text-gray-500 uppercase tracking-wider mr-2",
),
rx.icon(
t... | change_icon = rx.cond(
AccountState.net_worth_change_amount >= 0,
"arrow_up",
"arrow_down",
) |
import reflex as rx
from account_management_dashboard.states.account_state import AccountState
def net_worth_summary() -> rx.Component:
"""Displays the net worth and its change."""
change_color = rx.cond(
AccountState.net_worth_change_amount >= 0,
"text-green-600",
"text-red-600",
... |
return rx.el.div(
rx.el.div(
rx.el.span(
"NET WORTH",
class_name="text-xs font-medium text-gray-500 uppercase tracking-wider mr-2",
),
rx.icon(
tag="info",
size=14,
class_name="text-gray-400 ... | change_sign = rx.cond(AccountState.net_worth_change_amount >= 0, "+", "") |
from account_management_dashboard.states.account_state import AccountState
def sidebar_item(item: dict[str, str]) -> rx.Component:
"""Component for a single item in the sidebar."""
is_active = AccountState.active_page == item["name"]
return rx.el.a(
rx.el.div(
rx.icon(tag=item["icon"... | import reflex as rx | |
import reflex as rx
|
def sidebar_item(item: dict[str, str]) -> rx.Component:
"""Component for a single item in the sidebar."""
is_active = AccountState.active_page == item["name"]
return rx.el.a(
rx.el.div(
rx.icon(tag=item["icon"], class_name="w-5 h-5 mr-3"),
rx.el.span(item["name"]),
... | from account_management_dashboard.states.account_state import AccountState |
import reflex as rx
from account_management_dashboard.states.account_state import AccountState
def sidebar_item(item: dict[str, str]) -> rx.Component:
"""Component for a single item in the sidebar."""
|
return rx.el.a(
rx.el.div(
rx.icon(tag=item["icon"], class_name="w-5 h-5 mr-3"),
rx.el.span(item["name"]),
class_name=rx.cond(
is_active,
"flex items-center px-4 py-2.5 text-sm font-semibold text-gray-900 bg-gray-100 rounded-lg",
... | is_active = AccountState.active_page == item["name"] |
from account_management_dashboard.states.account_state import (
AccountState,
AssetLiabilitySummaryItem,
)
def summary_bar(item: AssetLiabilitySummaryItem, total: rx.Var[float]) -> rx.Component:
"""Creates a segment of the summary bar."""
percentage = rx.cond(total == 0, 0, item["value"] / total * 1... | import reflex as rx | |
import reflex as rx
|
def summary_bar(item: AssetLiabilitySummaryItem, total: rx.Var[float]) -> rx.Component:
"""Creates a segment of the summary bar."""
percentage = rx.cond(total == 0, 0, item["value"] / total * 100)
return rx.el.div(
class_name=f"{item['color']} h-2",
style={"width": percentage.to_string() ... | from account_management_dashboard.states.account_state import (
AccountState,
AssetLiabilitySummaryItem,
) |
import reflex as rx
from account_management_dashboard.states.account_state import (
AccountState,
AssetLiabilitySummaryItem,
)
|
def summary_list_item(
item: AssetLiabilitySummaryItem,
is_percent: rx.Var[bool],
) -> rx.Component:
"""Displays a single item in the summary list."""
display_value = rx.cond(
is_percent,
item["value"].to_string() + "%",
"$" + item["value"].to_string(),
)
return rx.el.... | def summary_bar(item: AssetLiabilitySummaryItem, total: rx.Var[float]) -> rx.Component:
"""Creates a segment of the summary bar."""
percentage = rx.cond(total == 0, 0, item["value"] / total * 100)
return rx.el.div(
class_name=f"{item['color']} h-2",
style={"width": percentage.to_string() + "... |
import reflex as rx
from account_management_dashboard.states.account_state import (
AccountState,
AssetLiabilitySummaryItem,
)
def summary_bar(item: AssetLiabilitySummaryItem, total: rx.Var[float]) -> rx.Component:
"""Creates a segment of the summary bar."""
|
return rx.el.div(
class_name=f"{item['color']} h-2",
style={"width": percentage.to_string() + "%"},
)
def summary_list_item(
item: AssetLiabilitySummaryItem,
is_percent: rx.Var[bool],
) -> rx.Component:
"""Displays a single item in the summary list."""
display_value = rx.cond(... | percentage = rx.cond(total == 0, 0, item["value"] / total * 100) |
import reflex as rx
from account_management_dashboard.states.account_state import (
AccountState,
AssetLiabilitySummaryItem,
)
def summary_bar(item: AssetLiabilitySummaryItem, total: rx.Var[float]) -> rx.Component:
"""Creates a segment of the summary bar."""
percentage = rx.cond(total == 0, 0, item["... |
return rx.el.div(
rx.el.div(
rx.el.div(class_name=f"{item['color']} w-2.5 h-2.5 rounded-full mr-3"),
rx.el.span(
item["name"],
class_name="text-sm text-gray-700",
),
class_name="flex items-center",
),
rx.el.span... | display_value = rx.cond(
is_percent,
item["value"].to_string() + "%",
"$" + item["value"].to_string(),
) |
.div(
class_name=f"{item['color']} h-2",
style={"width": percentage.to_string() + "%"},
)
def summary_list_item(
item: AssetLiabilitySummaryItem,
is_percent: rx.Var[bool],
) -> rx.Component:
"""Displays a single item in the summary list."""
display_value = rx.cond(
is_perce... |
is_percent_view = AccountState.summary_view == "Percent"
assets_data = rx.cond(
is_percent_view,
AccountState.asset_percentages,
AccountState.assets_summary,
)
liabilities_data = rx.cond(
is_percent_view,
AccountState.liability_percentages,
AccountState.l... | is_totals_view = AccountState.summary_view == "Totals" |
yle={"width": percentage.to_string() + "%"},
)
def summary_list_item(
item: AssetLiabilitySummaryItem,
is_percent: rx.Var[bool],
) -> rx.Component:
"""Displays a single item in the summary list."""
display_value = rx.cond(
is_percent,
item["value"].to_string() + "%",
"$" + ... |
assets_data = rx.cond(
is_percent_view,
AccountState.asset_percentages,
AccountState.assets_summary,
)
liabilities_data = rx.cond(
is_percent_view,
AccountState.liability_percentages,
AccountState.liabilities_summary,
)
total_assets_display = rx.cond(... | is_percent_view = AccountState.summary_view == "Percent" |
ary_list_item(
item: AssetLiabilitySummaryItem,
is_percent: rx.Var[bool],
) -> rx.Component:
"""Displays a single item in the summary list."""
display_value = rx.cond(
is_percent,
item["value"].to_string() + "%",
"$" + item["value"].to_string(),
)
return rx.el.div(
... |
liabilities_data = rx.cond(
is_percent_view,
AccountState.liability_percentages,
AccountState.liabilities_summary,
)
total_assets_display = rx.cond(
is_percent_view,
"100.0%",
"$" + AccountState.total_assets.to_string(),
)
total_liabilities_display = ... | assets_data = rx.cond(
is_percent_view,
AccountState.asset_percentages,
AccountState.assets_summary,
) |
he summary list."""
display_value = rx.cond(
is_percent,
item["value"].to_string() + "%",
"$" + item["value"].to_string(),
)
return rx.el.div(
rx.el.div(
rx.el.div(class_name=f"{item['color']} w-2.5 h-2.5 rounded-full mr-3"),
rx.el.span(
... |
total_assets_display = rx.cond(
is_percent_view,
"100.0%",
"$" + AccountState.total_assets.to_string(),
)
total_liabilities_display = rx.cond(
is_percent_view,
"100.0%",
"$" + AccountState.total_liabilities.to_string(),
)
return rx.el.div(
rx.... | liabilities_data = rx.cond(
is_percent_view,
AccountState.liability_percentages,
AccountState.liabilities_summary,
) |
,
)
return rx.el.div(
rx.el.div(
rx.el.div(class_name=f"{item['color']} w-2.5 h-2.5 rounded-full mr-3"),
rx.el.span(
item["name"],
class_name="text-sm text-gray-700",
),
class_name="flex items-center",
),
rx.... |
total_liabilities_display = rx.cond(
is_percent_view,
"100.0%",
"$" + AccountState.total_liabilities.to_string(),
)
return rx.el.div(
rx.el.div(
rx.el.h3(
"Summary",
class_name="text-lg font-semibold text-gray-900",
),
... | total_assets_display = rx.cond(
is_percent_view,
"100.0%",
"$" + AccountState.total_assets.to_string(),
) |
rx.el.span(
item["name"],
class_name="text-sm text-gray-700",
),
class_name="flex items-center",
),
rx.el.span(
display_value,
class_name="text-sm font-medium text-gray-900",
),
class_name="flex items-... |
return rx.el.div(
rx.el.div(
rx.el.h3(
"Summary",
class_name="text-lg font-semibold text-gray-900",
),
rx.el.div(
rx.el.button(
"Totals",
on_click=lambda: AccountState.set_summary_vie... | total_liabilities_display = rx.cond(
is_percent_view,
"100.0%",
"$" + AccountState.total_liabilities.to_string(),
) |
class NetWorthDataPoint(TypedDict):
date: str
value: float
class SparklinePoint(TypedDict):
value: float
class AccountDetail(TypedDict):
id: str
name: str
type: str
balance: float
last_updated: str
logo_url: str
sparkline_data: List[SparklinePoint]
class AccountCategory(... | from typing import List, TypedDict | |
from typing import List, TypedDict
class NetWorthDataPoint(TypedDict):
date: str
value: float
|
class AccountDetail(TypedDict):
id: str
name: str
type: str
balance: float
last_updated: str
logo_url: str
sparkline_data: List[SparklinePoint]
class AccountCategory(TypedDict):
category_name: str
total_balance: float
one_month_change: float
one_month_change_percent: flo... | class SparklinePoint(TypedDict):
value: float |
import random
from typing import Dict, List, Union
import reflex as rx
from dateutil.relativedelta import relativedelta
from account_management_dashboard.models.models import (
AccountCategory,
AssetLiabilitySummaryItem,
NetWorthDataPoint,
)
from account_management_dashboard.states.data import account_ca... | import datetime | |
import datetime
|
from typing import Dict, List, Union
import reflex as rx
from dateutil.relativedelta import relativedelta
from account_management_dashboard.models.models import (
AccountCategory,
AssetLiabilitySummaryItem,
NetWorthDataPoint,
)
from account_management_dashboard.states.data import account_categories_data
... | import random |
import datetime
import random
|
import reflex as rx
from dateutil.relativedelta import relativedelta
from account_management_dashboard.models.models import (
AccountCategory,
AssetLiabilitySummaryItem,
NetWorthDataPoint,
)
from account_management_dashboard.states.data import account_categories_data
def generate_net_worth_data(
nu... | from typing import Dict, List, Union |
import datetime
import random
from typing import Dict, List, Union
|
from dateutil.relativedelta import relativedelta
from account_management_dashboard.models.models import (
AccountCategory,
AssetLiabilitySummaryItem,
NetWorthDataPoint,
)
from account_management_dashboard.states.data import account_categories_data
def generate_net_worth_data(
num_points=365,
sta... | import reflex as rx |
import datetime
import random
from typing import Dict, List, Union
import reflex as rx
|
from account_management_dashboard.models.models import (
AccountCategory,
AssetLiabilitySummaryItem,
NetWorthDataPoint,
)
from account_management_dashboard.states.data import account_categories_data
def generate_net_worth_data(
num_points=365,
start_value=600000,
trend=200,
volatility=15... | from dateutil.relativedelta import relativedelta |
import datetime
import random
from typing import Dict, List, Union
import reflex as rx
from dateutil.relativedelta import relativedelta
|
from account_management_dashboard.states.data import account_categories_data
def generate_net_worth_data(
num_points=365,
start_value=600000,
trend=200,
volatility=1500,
) -> List[NetWorthDataPoint]:
"""Generates realistic net worth data points for the last year."""
data = []
today = date... | from account_management_dashboard.models.models import (
AccountCategory,
AssetLiabilitySummaryItem,
NetWorthDataPoint,
) |
import datetime
import random
from typing import Dict, List, Union
import reflex as rx
from dateutil.relativedelta import relativedelta
from account_management_dashboard.models.models import (
AccountCategory,
AssetLiabilitySummaryItem,
NetWorthDataPoint,
)
|
def generate_net_worth_data(
num_points=365,
start_value=600000,
trend=200,
volatility=1500,
) -> List[NetWorthDataPoint]:
"""Generates realistic net worth data points for the last year."""
data = []
today = datetime.date.today()
current_value = start_value
start_value -= trend * ... | from account_management_dashboard.states.data import account_categories_data |
import datetime
import random
from typing import Dict, List, Union
import reflex as rx
from dateutil.relativedelta import relativedelta
from account_management_dashboard.models.models import (
AccountCategory,
AssetLiabilitySummaryItem,
NetWorthDataPoint,
)
from account_management_dashboard.states.data im... |
INITIAL_NET_WORTH_DATA = generate_net_worth_data()
class AccountState(rx.State):
"""Holds the state for the financial dashboard."""
sidebar_items: List[Dict[str, str]] = [
{"name": "Dashboard", "icon": "home"},
{"name": "Accounts", "icon": "credit_card"},
{"name": "Transactions", "... | def generate_net_worth_data(
num_points=365,
start_value=600000,
trend=200,
volatility=1500,
) -> List[NetWorthDataPoint]:
"""Generates realistic net worth data points for the last year."""
data = []
today = datetime.date.today()
current_value = start_value
start_value -= trend * num... |
import datetime
import random
from typing import Dict, List, Union
import reflex as rx
from dateutil.relativedelta import relativedelta
from account_management_dashboard.models.models import (
AccountCategory,
AssetLiabilitySummaryItem,
NetWorthDataPoint,
)
from account_management_dashboard.states.data im... |
current_value = start_value
start_value -= trend * num_points * 0.5
for i in range(num_points):
current_date = today - datetime.timedelta(days=num_points - 1 - i)
date_str = current_date.strftime("%Y-%m-%d")
daily_change = random.gauss(trend / 365, volatility / 20)
current_v... | today = datetime.date.today() |
import datetime
import random
from typing import Dict, List, Union
import reflex as rx
from dateutil.relativedelta import relativedelta
from account_management_dashboard.models.models import (
AccountCategory,
AssetLiabilitySummaryItem,
NetWorthDataPoint,
)
from account_management_dashboard.states.data im... |
start_value -= trend * num_points * 0.5
for i in range(num_points):
current_date = today - datetime.timedelta(days=num_points - 1 - i)
date_str = current_date.strftime("%Y-%m-%d")
daily_change = random.gauss(trend / 365, volatility / 20)
current_value += daily_change
if ... | current_value = start_value |
import datetime
import random
from typing import Dict, List, Union
import reflex as rx
from dateutil.relativedelta import relativedelta
from account_management_dashboard.models.models import (
AccountCategory,
AssetLiabilitySummaryItem,
NetWorthDataPoint,
)
from account_management_dashboard.states.data im... |
data[-1]["value"] = 687041.79
return data
INITIAL_NET_WORTH_DATA = generate_net_worth_data()
class AccountState(rx.State):
"""Holds the state for the financial dashboard."""
sidebar_items: List[Dict[str, str]] = [
{"name": "Dashboard", "icon": "home"},
{"name": "Accounts", "icon": ... | for i in range(num_points):
current_date = today - datetime.timedelta(days=num_points - 1 - i)
date_str = current_date.strftime("%Y-%m-%d")
daily_change = random.gauss(trend / 365, volatility / 20)
current_value += daily_change
if random.random() < 0.02:
current_value... |
import datetime
import random
from typing import Dict, List, Union
import reflex as rx
from dateutil.relativedelta import relativedelta
from account_management_dashboard.models.models import (
AccountCategory,
AssetLiabilitySummaryItem,
NetWorthDataPoint,
)
from account_management_dashboard.states.data im... |
date_str = current_date.strftime("%Y-%m-%d")
daily_change = random.gauss(trend / 365, volatility / 20)
current_value += daily_change
if random.random() < 0.02:
current_value += random.uniform(-5000, 10000)
current_value = max(0, current_value)
data.append(
... | current_date = today - datetime.timedelta(days=num_points - 1 - i) |
import datetime
import random
from typing import Dict, List, Union
import reflex as rx
from dateutil.relativedelta import relativedelta
from account_management_dashboard.models.models import (
AccountCategory,
AssetLiabilitySummaryItem,
NetWorthDataPoint,
)
from account_management_dashboard.states.data im... |
daily_change = random.gauss(trend / 365, volatility / 20)
current_value += daily_change
if random.random() < 0.02:
current_value += random.uniform(-5000, 10000)
current_value = max(0, current_value)
data.append(
{
"date": date_str,
... | date_str = current_date.strftime("%Y-%m-%d") |
import datetime
import random
from typing import Dict, List, Union
import reflex as rx
from dateutil.relativedelta import relativedelta
from account_management_dashboard.models.models import (
AccountCategory,
AssetLiabilitySummaryItem,
NetWorthDataPoint,
)
from account_management_dashboard.states.data im... |
current_value += daily_change
if random.random() < 0.02:
current_value += random.uniform(-5000, 10000)
current_value = max(0, current_value)
data.append(
{
"date": date_str,
"value": round(current_value, 2),
}
)... | daily_change = random.gauss(trend / 365, volatility / 20) |
import datetime
import random
from typing import Dict, List, Union
import reflex as rx
from dateutil.relativedelta import relativedelta
from account_management_dashboard.models.models import (
AccountCategory,
AssetLiabilitySummaryItem,
NetWorthDataPoint,
)
from account_management_dashboard.states.data im... |
current_value = max(0, current_value)
data.append(
{
"date": date_str,
"value": round(current_value, 2),
}
)
data[-1]["value"] = 687041.79
return data
INITIAL_NET_WORTH_DATA = generate_net_worth_data()
class AccountState(rx.Sta... | if random.random() < 0.02:
current_value += random.uniform(-5000, 10000) |
ict, List, Union
import reflex as rx
from dateutil.relativedelta import relativedelta
from account_management_dashboard.models.models import (
AccountCategory,
AssetLiabilitySummaryItem,
NetWorthDataPoint,
)
from account_management_dashboard.states.data import account_categories_data
def generate_net_wo... |
data.append(
{
"date": date_str,
"value": round(current_value, 2),
}
)
data[-1]["value"] = 687041.79
return data
INITIAL_NET_WORTH_DATA = generate_net_worth_data()
class AccountState(rx.State):
"""Holds the state for the financial ... | current_value = max(0, current_value) |
ummaryItem,
NetWorthDataPoint,
)
from account_management_dashboard.states.data import account_categories_data
def generate_net_worth_data(
num_points=365,
start_value=600000,
trend=200,
volatility=1500,
) -> List[NetWorthDataPoint]:
"""Generates realistic net worth data points for the last yea... |
return data
INITIAL_NET_WORTH_DATA = generate_net_worth_data()
class AccountState(rx.State):
"""Holds the state for the financial dashboard."""
sidebar_items: List[Dict[str, str]] = [
{"name": "Dashboard", "icon": "home"},
{"name": "Accounts", "icon": "credit_card"},
{"name": "... | data[-1]["value"] = 687041.79 |
t_management_dashboard.states.data import account_categories_data
def generate_net_worth_data(
num_points=365,
start_value=600000,
trend=200,
volatility=1500,
) -> List[NetWorthDataPoint]:
"""Generates realistic net worth data points for the last year."""
data = []
today = datetime.date.to... |
class AccountState(rx.State):
"""Holds the state for the financial dashboard."""
sidebar_items: List[Dict[str, str]] = [
{"name": "Dashboard", "icon": "home"},
{"name": "Accounts", "icon": "credit_card"},
{"name": "Transactions", "icon": "list"},
{"name": "Cash Flow", "icon":... | INITIAL_NET_WORTH_DATA = generate_net_worth_data() |
"value": 542301.55,
"color": "bg-purple-500",
},
{
"name": "Real Estate",
"value": 300625.05,
"color": "bg-blue-500",
},
{
"name": "Cash",
"value": 65342.3,
"color": "bg-green-500",
},
... |
today = datetime.date.today()
range_map = {
"1 month": relativedelta(months=1),
"3 months": relativedelta(months=3),
"6 months": relativedelta(months=6),
"1 year": relativedelta(years=1),
}
if self.selected_graph_range == "All time":
... | if not self._raw_net_worth_data:
return [] |
0",
},
{
"name": "Real Estate",
"value": 300625.05,
"color": "bg-blue-500",
},
{
"name": "Cash",
"value": 65342.3,
"color": "bg-green-500",
},
{
"name": "Vehicles",
"value": 20... |
range_map = {
"1 month": relativedelta(months=1),
"3 months": relativedelta(months=3),
"6 months": relativedelta(months=6),
"1 year": relativedelta(years=1),
}
if self.selected_graph_range == "All time":
start_date_limit = None
... | today = datetime.date.today() |
name": "Real Estate",
"value": 300625.05,
"color": "bg-blue-500",
},
{
"name": "Cash",
"value": 65342.3,
"color": "bg-green-500",
},
{
"name": "Vehicles",
"value": 20739.77,
"color": "bg-orang... |
if self.selected_graph_range == "All time":
start_date_limit = None
elif self.selected_graph_range in range_map:
delta = range_map[self.selected_graph_range]
start_date_limit = today - delta
else:
start_date_limit = today - relativedelta(months=1)... | range_map = {
"1 month": relativedelta(months=1),
"3 months": relativedelta(months=3),
"6 months": relativedelta(months=6),
"1 year": relativedelta(years=1),
} |
{
"name": "Vehicles",
"value": 20739.77,
"color": "bg-orange-500",
},
]
liabilities_summary: List[AssetLiabilitySummaryItem] = [
{
"name": "Loans",
"value": 239137.89,
"color": "bg-yellow-500",
},
{
... |
filtered_data = []
for point in self._raw_net_worth_data:
date_obj = datetime.datetime.strptime(point["date"], "%Y-%m-%d").date()
if start_date_limit is None or date_obj >= start_date_limit:
if (
self.selected_graph_range == "1 year"
... | if self.selected_graph_range == "All time":
start_date_limit = None
elif self.selected_graph_range in range_map:
delta = range_map[self.selected_graph_range]
start_date_limit = today - delta
else:
start_date_limit = today - relativedelta(months=1) |
20739.77,
"color": "bg-orange-500",
},
]
liabilities_summary: List[AssetLiabilitySummaryItem] = [
{
"name": "Loans",
"value": 239137.89,
"color": "bg-yellow-500",
},
{
"name": "Credit Cards",
"value": 2828.99... |
elif self.selected_graph_range in range_map:
delta = range_map[self.selected_graph_range]
start_date_limit = today - delta
else:
start_date_limit = today - relativedelta(months=1)
filtered_data = []
for point in self._raw_net_worth_data:
d... | start_date_limit = None |
bg-orange-500",
},
]
liabilities_summary: List[AssetLiabilitySummaryItem] = [
{
"name": "Loans",
"value": 239137.89,
"color": "bg-yellow-500",
},
{
"name": "Credit Cards",
"value": 2828.99,
"color": "bg-red-5... |
filtered_data = []
for point in self._raw_net_worth_data:
date_obj = datetime.datetime.strptime(point["date"], "%Y-%m-%d").date()
if start_date_limit is None or date_obj >= start_date_limit:
if (
self.selected_graph_range == "1 year"
... | elif self.selected_graph_range in range_map:
delta = range_map[self.selected_graph_range]
start_date_limit = today - delta
else:
start_date_limit = today - relativedelta(months=1) |
List[AssetLiabilitySummaryItem] = [
{
"name": "Loans",
"value": 239137.89,
"color": "bg-yellow-500",
},
{
"name": "Credit Cards",
"value": 2828.99,
"color": "bg-red-500",
},
]
summary_view: str = "Totals"
... |
start_date_limit = today - delta
else:
start_date_limit = today - relativedelta(months=1)
filtered_data = []
for point in self._raw_net_worth_data:
date_obj = datetime.datetime.strptime(point["date"], "%Y-%m-%d").date()
if start_date_limit is None... | delta = range_map[self.selected_graph_range] |
"name": "Loans",
"value": 239137.89,
"color": "bg-yellow-500",
},
{
"name": "Credit Cards",
"value": 2828.99,
"color": "bg-red-500",
},
]
summary_view: str = "Totals"
@rx.var
def net_worth_performance_data(
se... |
else:
start_date_limit = today - relativedelta(months=1)
filtered_data = []
for point in self._raw_net_worth_data:
date_obj = datetime.datetime.strptime(point["date"], "%Y-%m-%d").date()
if start_date_limit is None or date_obj >= start_date_limit:
... | start_date_limit = today - delta |
"color": "bg-yellow-500",
},
{
"name": "Credit Cards",
"value": 2828.99,
"color": "bg-red-500",
},
]
summary_view: str = "Totals"
@rx.var
def net_worth_performance_data(
self,
) -> List[Dict[str, Union[str, float]]]:
""... |
filtered_data = []
for point in self._raw_net_worth_data:
date_obj = datetime.datetime.strptime(point["date"], "%Y-%m-%d").date()
if start_date_limit is None or date_obj >= start_date_limit:
if (
self.selected_graph_range == "1 year"
... | start_date_limit = today - relativedelta(months=1) |
"name": "Credit Cards",
"value": 2828.99,
"color": "bg-red-500",
},
]
summary_view: str = "Totals"
@rx.var
def net_worth_performance_data(
self,
) -> List[Dict[str, Union[str, float]]]:
"""Filters the net worth data based on the selected range and... |
for point in self._raw_net_worth_data:
date_obj = datetime.datetime.strptime(point["date"], "%Y-%m-%d").date()
if start_date_limit is None or date_obj >= start_date_limit:
if (
self.selected_graph_range == "1 year"
or self.selected... | filtered_data = [] |
"bg-red-500",
},
]
summary_view: str = "Totals"
@rx.var
def net_worth_performance_data(
self,
) -> List[Dict[str, Union[str, float]]]:
"""Filters the net worth data based on the selected range and formats for the graph."""
if not self._raw_net_worth_data:
... |
if start_date_limit is None or date_obj >= start_date_limit:
if (
self.selected_graph_range == "1 year"
or self.selected_graph_range == "All time"
):
display_date = date_obj.strftime("%b %Y")
else:
... | date_obj = datetime.datetime.strptime(point["date"], "%Y-%m-%d").date() |
, float]]]:
"""Filters the net worth data based on the selected range and formats for the graph."""
if not self._raw_net_worth_data:
return []
today = datetime.date.today()
range_map = {
"1 month": relativedelta(months=1),
"3 months": relativedelta(mon... |
sampling_rate = 1
if self.selected_graph_range == "1 year":
sampling_rate = 7
elif (
self.selected_graph_range == "All time"
and len(self._raw_net_worth_data) > 30
):
total_da... | if (
self.selected_graph_range == "1 year"
or self.selected_graph_range == "All time"
):
display_date = date_obj.strftime("%b %Y")
else:
display_date = date_obj.strftime("%b %d") |
rn []
today = datetime.date.today()
range_map = {
"1 month": relativedelta(months=1),
"3 months": relativedelta(months=3),
"6 months": relativedelta(months=6),
"1 year": relativedelta(years=1),
}
if self.selected_graph_range == "All time":
... |
else:
display_date = date_obj.strftime("%b %d")
sampling_rate = 1
if self.selected_graph_range == "1 year":
sampling_rate = 7
elif (
self.selected_graph_range == "All time"
an... | display_date = date_obj.strftime("%b %Y") |
th": relativedelta(months=1),
"3 months": relativedelta(months=3),
"6 months": relativedelta(months=6),
"1 year": relativedelta(years=1),
}
if self.selected_graph_range == "All time":
start_date_limit = None
elif self.selected_graph_range in range_... |
sampling_rate = 1
if self.selected_graph_range == "1 year":
sampling_rate = 7
elif (
self.selected_graph_range == "All time"
and len(self._raw_net_worth_data) > 30
):
total_da... | display_date = date_obj.strftime("%b %d") |
tivedelta(months=3),
"6 months": relativedelta(months=6),
"1 year": relativedelta(years=1),
}
if self.selected_graph_range == "All time":
start_date_limit = None
elif self.selected_graph_range in range_map:
delta = range_map[self.selected_graph_ran... |
if self.selected_graph_range == "1 year":
sampling_rate = 7
elif (
self.selected_graph_range == "All time"
and len(self._raw_net_worth_data) > 30
):
total_days = (
dat... | sampling_rate = 1 |
6 months": relativedelta(months=6),
"1 year": relativedelta(years=1),
}
if self.selected_graph_range == "All time":
start_date_limit = None
elif self.selected_graph_range in range_map:
delta = range_map[self.selected_graph_range]
start_date_limit =... |
point_index = self._raw_net_worth_data.index(point)
if (
len(filtered_data) == 0
or point_index % sampling_rate == 0
or point_index == len(self._raw_net_worth_data) - 1
):
filtered_data.appen... | if self.selected_graph_range == "1 year":
sampling_rate = 7
elif (
self.selected_graph_range == "All time"
and len(self._raw_net_worth_data) > 30
):
total_days = (
datetime.datetime.st... |
tivedelta(years=1),
}
if self.selected_graph_range == "All time":
start_date_limit = None
elif self.selected_graph_range in range_map:
delta = range_map[self.selected_graph_range]
start_date_limit = today - delta
else:
start_date_limit = to... |
elif (
self.selected_graph_range == "All time"
and len(self._raw_net_worth_data) > 30
):
total_days = (
datetime.datetime.strptime(
self._raw_net_worth_data[-1]["date"],
... | sampling_rate = 7 |
if self.selected_graph_range == "All time":
start_date_limit = None
elif self.selected_graph_range in range_map:
delta = range_map[self.selected_graph_range]
start_date_limit = today - delta
else:
start_date_limit = today - relativedelta(months=1)
... |
point_index = self._raw_net_worth_data.index(point)
if (
len(filtered_data) == 0
or point_index % sampling_rate == 0
or point_index == len(self._raw_net_worth_data) - 1
):
filtered_data.appen... | elif (
self.selected_graph_range == "All time"
and len(self._raw_net_worth_data) > 30
):
total_days = (
datetime.datetime.strptime(
self._raw_net_worth_data[-1]["date"],
... |
p[self.selected_graph_range]
start_date_limit = today - delta
else:
start_date_limit = today - relativedelta(months=1)
filtered_data = []
for point in self._raw_net_worth_data:
date_obj = datetime.datetime.strptime(point["date"], "%Y-%m-%d").date()
... |
sampling_rate = max(1, total_days // 60)
point_index = self._raw_net_worth_data.index(point)
if (
len(filtered_data) == 0
or point_index % sampling_rate == 0
or point_index == len(self._raw_net_worth_data) -... | total_days = (
datetime.datetime.strptime(
self._raw_net_worth_data[-1]["date"],
"%Y-%m-%d",
).date()
- datetime.datetime.strptime(
self._raw_net_worth_data[0]["dat... |
nge == "1 year"
or self.selected_graph_range == "All time"
):
display_date = date_obj.strftime("%b %Y")
else:
display_date = date_obj.strftime("%b %d")
sampling_rate = 1
if self.selected_graph_ran... |
point_index = self._raw_net_worth_data.index(point)
if (
len(filtered_data) == 0
or point_index % sampling_rate == 0
or point_index == len(self._raw_net_worth_data) - 1
):
filtered_data.appen... | sampling_rate = max(1, total_days // 60) |
h_range == "All time"
):
display_date = date_obj.strftime("%b %Y")
else:
display_date = date_obj.strftime("%b %d")
sampling_rate = 1
if self.selected_graph_range == "1 year":
sampling_rate = 7
... |
if (
len(filtered_data) == 0
or point_index % sampling_rate == 0
or point_index == len(self._raw_net_worth_data) - 1
):
filtered_data.append(
{
"date": dis... | point_index = self._raw_net_worth_data.index(point) |
_date = date_obj.strftime("%b %Y")
else:
display_date = date_obj.strftime("%b %d")
sampling_rate = 1
if self.selected_graph_range == "1 year":
sampling_rate = 7
elif (
self.selected_graph_range ==... |
if filtered_data and self._raw_net_worth_data:
last_raw_date = datetime.datetime.strptime(
self._raw_net_worth_data[-1]["date"],
"%Y-%m-%d",
).date()
if (
self.selected_graph_range == "1 year"
or self.selected_... | if (
len(filtered_data) == 0
or point_index % sampling_rate == 0
or point_index == len(self._raw_net_worth_data) - 1
):
filtered_data.append(
{
"date": display_date,
... |
total_days = (
datetime.datetime.strptime(
self._raw_net_worth_data[-1]["date"],
"%Y-%m-%d",
).date()
- datetime.datetime.strptime(
self._raw_net_worth_data[0... |
return filtered_data
@rx.var
def total_assets(self) -> float:
"""Calculate total assets."""
return round(
sum((item["value"] for item in self.assets_summary)),
2,
)
@rx.var
def total_liabilities(self) -> float:
"""Calculate total liabili... | if filtered_data and self._raw_net_worth_data:
last_raw_date = datetime.datetime.strptime(
self._raw_net_worth_data[-1]["date"],
"%Y-%m-%d",
).date()
if (
self.selected_graph_range == "1 year"
or self.selected_graph_rang... |
ime.strptime(
self._raw_net_worth_data[-1]["date"],
"%Y-%m-%d",
).date()
- datetime.datetime.strptime(
self._raw_net_worth_data[0]["date"],
"%Y-%m-%d",
... |
if (
self.selected_graph_range == "1 year"
or self.selected_graph_range == "All time"
):
filtered_data[-1]["date"] = last_raw_date.strftime("%b %Y")
else:
filtered_data[-1]["date"] = last_raw_date.strftime("%b %d")
... | last_raw_date = datetime.datetime.strptime(
self._raw_net_worth_data[-1]["date"],
"%Y-%m-%d",
).date() |
- datetime.datetime.strptime(
self._raw_net_worth_data[0]["date"],
"%Y-%m-%d",
).date()
).days
sampling_rate = max(1, total_days // 60)
point_index = self._raw_net_wo... |
if filtered_data[-1]["value"] != self._raw_net_worth_data[-1]["value"]:
filtered_data.append(
{
"date": filtered_data[-1]["date"],
"value": self._raw_net_worth_data[-1]["value"],
}
)
... | if (
self.selected_graph_range == "1 year"
or self.selected_graph_range == "All time"
):
filtered_data[-1]["date"] = last_raw_date.strftime("%b %Y")
else:
filtered_data[-1]["date"] = last_raw_date.strftime("%b %d") |
d",
).date()
).days
sampling_rate = max(1, total_days // 60)
point_index = self._raw_net_worth_data.index(point)
if (
len(filtered_data) == 0
or point_index % sampling_rate == 0
... |
else:
filtered_data[-1]["date"] = last_raw_date.strftime("%b %d")
if filtered_data[-1]["value"] != self._raw_net_worth_data[-1]["value"]:
filtered_data.append(
{
"date": filtered_data[-1]["date"],
... | filtered_data[-1]["date"] = last_raw_date.strftime("%b %Y") |
ate = max(1, total_days // 60)
point_index = self._raw_net_worth_data.index(point)
if (
len(filtered_data) == 0
or point_index % sampling_rate == 0
or point_index == len(self._raw_net_worth_data) - 1
):
... |
if filtered_data[-1]["value"] != self._raw_net_worth_data[-1]["value"]:
filtered_data.append(
{
"date": filtered_data[-1]["date"],
"value": self._raw_net_worth_data[-1]["value"],
}
)
... | filtered_data[-1]["date"] = last_raw_date.strftime("%b %d") |
et_worth_data.index(point)
if (
len(filtered_data) == 0
or point_index % sampling_rate == 0
or point_index == len(self._raw_net_worth_data) - 1
):
filtered_data.append(
{
... |
return filtered_data
@rx.var
def total_assets(self) -> float:
"""Calculate total assets."""
return round(
sum((item["value"] for item in self.assets_summary)),
2,
)
@rx.var
def total_liabilities(self) -> float:
"""Calculate total liabili... | if filtered_data[-1]["value"] != self._raw_net_worth_data[-1]["value"]:
filtered_data.append(
{
"date": filtered_data[-1]["date"],
"value": self._raw_net_worth_data[-1]["value"],
}
) |
y_date,
"value": point["value"],
}
)
if filtered_data and self._raw_net_worth_data:
last_raw_date = datetime.datetime.strptime(
self._raw_net_worth_data[-1]["date"],
"%Y-%m-%d",
).dat... |
@rx.var
def total_liabilities(self) -> float:
"""Calculate total liabilities."""
cc_balance = next(
(
cat["total_balance"]
for cat in self.account_categories
if cat["category_name"] == "Credit Cards"
),
0,
... | def total_assets(self) -> float:
"""Calculate total assets."""
return round(
sum((item["value"] for item in self.assets_summary)),
2,
) |
.datetime.strptime(
self._raw_net_worth_data[-1]["date"],
"%Y-%m-%d",
).date()
if (
self.selected_graph_range == "1 year"
or self.selected_graph_range == "All time"
):
filtered_data[-1]["date"] = last_raw... |
@rx.var
def asset_percentages(
self,
) -> List[AssetLiabilitySummaryItem]:
"""Calculate asset percentages."""
total = self.total_assets
if total == 0:
return [
{
"name": item["name"],
"value": 0.0,
... | def total_liabilities(self) -> float:
"""Calculate total liabilities."""
cc_balance = next(
(
cat["total_balance"]
for cat in self.account_categories
if cat["category_name"] == "Credit Cards"
),
0,
)
othe... |
"%Y-%m-%d",
).date()
if (
self.selected_graph_range == "1 year"
or self.selected_graph_range == "All time"
):
filtered_data[-1]["date"] = last_raw_date.strftime("%b %Y")
else:
filtered_data[-1]["date"] = las... |
other_liabilities = sum(
(
item["value"]
for item in self.liabilities_summary
if item["name"] != "Credit Cards"
)
)
return round(other_liabilities + abs(cc_balance), 2)
@rx.var
def asset_percentages(
self,
... | cc_balance = next(
(
cat["total_balance"]
for cat in self.account_categories
if cat["category_name"] == "Credit Cards"
),
0,
) |
"date": filtered_data[-1]["date"],
"value": self._raw_net_worth_data[-1]["value"],
}
)
return filtered_data
@rx.var
def total_assets(self) -> float:
"""Calculate total assets."""
return round(
sum((i... |
@rx.var
def liability_percentages(
self,
) -> List[AssetLiabilitySummaryItem]:
"""Calculate liability percentages."""
total = self.total_liabilities
if total == 0:
return [
{
"name": item["name"],
"value": ... | def asset_percentages(
self,
) -> List[AssetLiabilitySummaryItem]:
"""Calculate asset percentages."""
total = self.total_assets
if total == 0:
return [
{
"name": item["name"],
"value": 0.0,
"color... |
}
)
return filtered_data
@rx.var
def total_assets(self) -> float:
"""Calculate total assets."""
return round(
sum((item["value"] for item in self.assets_summary)),
2,
)
@rx.var
def total_liabilities(self) -> float:
... |
if total == 0:
return [
{
"name": item["name"],
"value": 0.0,
"color": item["color"],
}
for item in self.assets_summary
]
return [
{
"name": it... | total = self.total_assets |
return filtered_data
@rx.var
def total_assets(self) -> float:
"""Calculate total assets."""
return round(
sum((item["value"] for item in self.assets_summary)),
2,
)
@rx.var
def total_liabilities(self) -> float:
"""Calculate total liabiliti... |
return [
{
"name": item["name"],
"value": round(item["value"] / total * 100, 1),
"color": item["color"],
}
for item in self.assets_summary
]
@rx.var
def liability_percentages(
self,
) -> List[AssetL... | if total == 0:
return [
{
"name": item["name"],
"value": 0.0,
"color": item["color"],
}
for item in self.assets_summary
] |
"
),
0,
)
other_liabilities = sum(
(
item["value"]
for item in self.liabilities_summary
if item["name"] != "Credit Cards"
)
)
return round(other_liabilities + abs(cc_balance), 2)
@rx.var
... |
@rx.event
def set_active_page(self, page_name: str):
"""Set the currently active page in the sidebar."""
self.active_page = page_name
@rx.event
def toggle_account_category(self, category_index: int):
"""Toggle the open/closed state of an account category."""
if 0 <= ca... | def liability_percentages(
self,
) -> List[AssetLiabilitySummaryItem]:
"""Calculate liability percentages."""
total = self.total_liabilities
if total == 0:
return [
{
"name": item["name"],
"value": 0.0,
... |
item in self.liabilities_summary
if item["name"] != "Credit Cards"
)
)
return round(other_liabilities + abs(cc_balance), 2)
@rx.var
def asset_percentages(
self,
) -> List[AssetLiabilitySummaryItem]:
"""Calculate asset percentages."""
tota... |
if total == 0:
return [
{
"name": item["name"],
"value": 0.0,
"color": item["color"],
}
for item in self.liabilities_summary
]
current_liability_summary = []
for i... | total = self.total_liabilities |
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